1 Mar 2024
Job Information
- Organisation/Company
Sapienza University of Rome- Research Field
Computer science » Computer architecture- Researcher Profile
Recognised Researcher (R2)
First Stage Researcher (R1)- Country
Italy- Application Deadline
16 Mar 2024 - 00:00 (UTC)- Type of Contract
To be defined- Job Status
Negotiable- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
Smart Network Interface Cards (SmartNICs) offer unprecedented opportunities for achieving high performance and reduced CPU utilization in a wide range of scenarios spanning from datacenter networking to AI/ML and HPC applications. However, the resource constraints of these devices pose significant challenges for their effective and efficient exploitation. We seek a highly motivated Ph.D./post-doc researcher to explore the design of acceleration of network functions and HPC applications exploiting architectures such as last-generation NVIDIA BlueField DPUs or AMD-Xilinx FPGA-based Alveo SmartNICs.
Research Focus:
- Investigate the theoretical limits and practical benefits of existing SmartNICs.
- Assess the computational and memory overheads associated with implementing HPC primitives (e.g., collective operations) and applications on SmartNICs.
- Explore the tradeoffs between fully- and partially offloaded algorithms, especially those used in ML training scenarios (e.g., gradient aggregation, sparsification, and quantization).
- Explore the tradeoffs in terms of performance and flexibility between on-path and off-path solutions.
Research Activities:
- Conduct comparative evaluations to benchmark the performance of different SmartNIC architectures, identify the limitations of the current generation, and hopefully contribute to designing the architecture of next-generation ones.
- Develop innovative algorithms tailored for SmartNICs to optimize processing efficiency and memory utilization.
- Integrate SmartNIC offload in machine learning frameworks such as PyTorch.
- Collaborate closely with industry partners, including NVIDIA, to leverage expertise and resources in SmartNIC and DPU technologies.
Research Environment: This research will be conducted at the Dipartimento di Informatica of Università di Roma – La Sapienza. The university provides a stimulating academic environment conducive to interdisciplinary research and innovation in networking and computer science.
Interested candidates are encouraged to contact Prof. Salvatore Pontarelli at [email protected] or Prof. Daniele De Sensi at [email protected] for further information and application instructions.
Requirements
Additional Information
- Website for additional job details
https://www.hipeac.net/jobs/14559/phdpost-doc-position-on-workload-acceleration…
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Sapienza University of Rome
- Country
- Italy
- City
- Rome
- Geofield
Where to apply
- Website
https://web.uniroma1.it/trasparenza/sites/default/files/Bando%2004%20AR_4.pdf
Contact
- City
Rome- Website
https://www.uniroma1.it/it/
https://twitter.com/Sapienzaroma
STATUS: EXPIRED
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